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complete_async

Initiate asynchronous text generation with YandexGPT and receive an operation ID to monitor progress and fetch results.

Instructions

Асинхронная генерация текста через YandexGPT. Возвращает ID операции для проверки статуса.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoМодель (yandexgpt-lite, yandexgpt, yandexgpt-32k)yandexgpt-lite
messagesYesМассив сообщений диалога
maxTokensNoМаксимальное количество токенов
temperatureNoТемпература генерации (0–1)
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries full weight. It only mentions async generation and returning an operation ID, failing to disclose idempotency, error handling, rate limits, or authentication needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (two sentences) and front-loaded with the core purpose. While effective, it could be slightly more efficient by omitting redundancy with the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Missing an output schema, the description does not clarify the return format beyond 'operation ID.' It also lacks hints for chaining with get_operation, and does not address error scenarios, leaving gaps for a 4-parameter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema fully documents each parameter. The tool description adds no additional meaning beyond what the schema provides, meeting the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool performs asynchronous text generation via YandexGPT and returns an operation ID. This clearly distinguishes it from siblings like 'complete' (likely synchronous) and 'get_operation' (status checking).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies async usage but does not explicitly state when to use this tool versus alternatives. No exclusions or context are provided, relying on inference from sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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